Generalized Method of Moments Estimation
Herausgeber: Gourieroux, Christian; Phillips, Peter C. B.; Matyas, Laszlo
Generalized Method of Moments Estimation
Herausgeber: Gourieroux, Christian; Phillips, Peter C. B.; Matyas, Laszlo
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The principal objective of this volume is to offer a complete presentation of the theory of GMM estimation.
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The principal objective of this volume is to offer a complete presentation of the theory of GMM estimation.
Produktdetails
- Produktdetails
- Verlag: Cambridge University Press
- Seitenzahl: 332
- Erscheinungstermin: 7. Januar 1999
- Englisch
- Abmessung: 235mm x 157mm x 24mm
- Gewicht: 693g
- ISBN-13: 9780521660136
- ISBN-10: 0521660130
- Artikelnr.: 23103546
- Verlag: Cambridge University Press
- Seitenzahl: 332
- Erscheinungstermin: 7. Januar 1999
- Englisch
- Abmessung: 235mm x 157mm x 24mm
- Gewicht: 693g
- ISBN-13: 9780521660136
- ISBN-10: 0521660130
- Artikelnr.: 23103546
Preface
1. Introduction to the generalized method of moments estimation David Harris and László Mátyás
2. GMM estimation techniques Masao Ogaki
3. Covariance matrix estimation Matthew J. Cushing and Mary G. McGarvey
4. Hypothesis testing in models estimated by GMM Alastair R. Hall
5. Finite sample properties of GMM estimators and tests Jan M. Podivinsky
6. GMM estimation of time series models David Harris
7. Reduced rank regression using GMM Frank Kleibergen
8. Estimation of linear panel data models using GMM Seung C. Ahn and Peter Schmidt
9. Alternative GMM methods for nonlinear panel data models Jörg Breitung and Michael Lechner
10. Simulation based method of moments Roman Liesenfeld and Jörg Breitung
11. Logically inconsistent limited dependent variables models J. S. Butler and Gabriel Picone
Index.
1. Introduction to the generalized method of moments estimation David Harris and László Mátyás
2. GMM estimation techniques Masao Ogaki
3. Covariance matrix estimation Matthew J. Cushing and Mary G. McGarvey
4. Hypothesis testing in models estimated by GMM Alastair R. Hall
5. Finite sample properties of GMM estimators and tests Jan M. Podivinsky
6. GMM estimation of time series models David Harris
7. Reduced rank regression using GMM Frank Kleibergen
8. Estimation of linear panel data models using GMM Seung C. Ahn and Peter Schmidt
9. Alternative GMM methods for nonlinear panel data models Jörg Breitung and Michael Lechner
10. Simulation based method of moments Roman Liesenfeld and Jörg Breitung
11. Logically inconsistent limited dependent variables models J. S. Butler and Gabriel Picone
Index.
Preface
1. Introduction to the generalized method of moments estimation David Harris and László Mátyás
2. GMM estimation techniques Masao Ogaki
3. Covariance matrix estimation Matthew J. Cushing and Mary G. McGarvey
4. Hypothesis testing in models estimated by GMM Alastair R. Hall
5. Finite sample properties of GMM estimators and tests Jan M. Podivinsky
6. GMM estimation of time series models David Harris
7. Reduced rank regression using GMM Frank Kleibergen
8. Estimation of linear panel data models using GMM Seung C. Ahn and Peter Schmidt
9. Alternative GMM methods for nonlinear panel data models Jörg Breitung and Michael Lechner
10. Simulation based method of moments Roman Liesenfeld and Jörg Breitung
11. Logically inconsistent limited dependent variables models J. S. Butler and Gabriel Picone
Index.
1. Introduction to the generalized method of moments estimation David Harris and László Mátyás
2. GMM estimation techniques Masao Ogaki
3. Covariance matrix estimation Matthew J. Cushing and Mary G. McGarvey
4. Hypothesis testing in models estimated by GMM Alastair R. Hall
5. Finite sample properties of GMM estimators and tests Jan M. Podivinsky
6. GMM estimation of time series models David Harris
7. Reduced rank regression using GMM Frank Kleibergen
8. Estimation of linear panel data models using GMM Seung C. Ahn and Peter Schmidt
9. Alternative GMM methods for nonlinear panel data models Jörg Breitung and Michael Lechner
10. Simulation based method of moments Roman Liesenfeld and Jörg Breitung
11. Logically inconsistent limited dependent variables models J. S. Butler and Gabriel Picone
Index.